Design method and system for vibration-free formed low-carbon cement-based material of road and bridge structure

Abstract

The invention discloses a road and bridge structure vibration-free molding low-carbon cement-based material design method and system, and relates to the technical field of highway engineering.The method comprises the steps that a raw material sampling model is built according to the aggregate dosage, the water-powder ratio and the water reducing agent dosage; a sampling unit is selected, the expansion degree and the expansion time are measured, qualified units are reserved when the rheological property is met, and the reserved units form a three-parameter cement-based material rheological property prediction model; the strength grade is judged through a compressive strength test, when the strength grade is not met, a fiber material is added in the unit proportion, the strength test is repeated, and when the strength is met, the model serves as an initial mix proportion model; and selecting different grades to carry out a mix proportion model, selecting the high-carbon raw material dosage meeting the strength condition to obtain two groups of initial proportions, and obtaining a configuration result of the low-carbon cement-based material when the specification is met. The system can automatically screen out a plurality of proportions with the lowest carbon emission factor per unit intensity under the intensity grade, and the carbon emission per unit volume can be effectively reduced.

Description

Technical Field

[0001] This invention relates to the field of highway engineering technology, and in particular to a design method and system for vibration-free molding of low-carbon cement-based materials for road and bridge structures. Background Technology

[0002] Highway engineering projects are massive in scale. With the expansion of the application of vibration-free molding construction for road and bridge structures, the amount of rheological materials used is huge, and the raw materials used in their preparation are mostly "high-carbon" products.

[0003] Currently, the traditional trial-and-match method is mainly used in the actual operation of engineering formulation. This method requires pre-setting multiple formulation schemes and then verifying the feasibility and effectiveness of each scheme through a large number of experiments. Due to the limitations of experimental conditions, it is difficult to guarantee that the obtained formulation is the optimal solution. In addition, the traditional trial-and-match method is poorly adaptable to fluctuations in raw material properties. Once the properties of raw materials change, it is often necessary to repeat the trial-and-match process, which undoubtedly increases engineering and time costs and makes carbon emissions uncontrollable. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of the prior art by providing a design method, system, and equipment for vibration-free molding of low-carbon cement-based materials for road and bridge structures, thereby solving the problems in the prior art.

[0005] The present invention specifically provides the following technical solution: A design method for low-carbon cement-based materials for vibration-free molding of road and bridge structures includes: Using aggregate dosage, water-to-powder ratio, and water-reducing agent dosage as three coordinate axes, and selecting sampling intervals to divide the grid according to the actual dosage range of each raw material, a raw material sampling model is constructed. Select multiple cells of the raw material sampling model and measure the expansion degree and expansion time of each cell. When the expansion degree and expansion time meet the set threshold, the cell is retained as a qualified cell. After traversing each cell, the retained cells form a three-parameter cement-based material rheology prediction model. Compressive strength tests were conducted on each cell of the three-parameter cement-based material rheology prediction model to determine the strength grade. If the strength grade was not met, fiber materials were added to the unit mix proportion and the fiber content was adjusted. The strength test was repeated until the strength grade reached the threshold. The strength grade and fiber content were marked on the cell as the initial mix proportion model. In the initial mix design model, the amount of high-carbon raw materials in the non-fiber reinforced cells and the fiber reinforced cells that meet the strength requirements are selected as two initial mix proportions. At the same time, a mix design test is carried out using the two initial mix proportions. When the mix design test results meet the set specification requirements, the configuration results of the low-carbon cement-based material for vibration-free molding of road and bridge structures are output. Among them, the non-fiber reinforced cells and the fiber reinforced cells are cells without fiber content and cells with fiber content, respectively.

[0006] Preferably, the construction of the raw material sampling model further includes: The sampling interval method was used to determine the aggregate dosage, water-powder ratio, and water-reducing agent dosage, and to design the concrete mix proportion and optimize the raw material sampling model.

[0007] Preferably, the amount of aggregate used is determined as follows: The aggregates are divided into different grades according to their coarseness, and the initial mix proportions are distributed in equal mass ratios for each grade of aggregate. The void ratio of the mixed aggregate under different mix proportions was tested by water injection volume and apparent volume ratio of aggregate, and the adjustment was carried out at different intervals in each range, as well as in the range where the void ratio of the mixed aggregate was less than the threshold. The total aggregate quantity was obtained by the difference between the concrete density and the mass of adhesive, water and water-reducing agent. Based on the total aggregate quantity, fine / coarse aggregate was allocated according to the optimized sand ratio.

[0008] Preferably, the water-to-powder ratio is determined as follows: To obtain the concrete mix strength, the specific expression is: ; The theoretical water-cement ratio is calculated using the Paulomee formula, specifically expressed as follows: ; in, f cu,0 To prepare the concrete for strength, f cu,k This refers to the standard value of the compressive strength of a concrete cube. σ W / B represents the standard deviation of concrete strength, and W / B represents the water-cement ratio. α a 、α b This is an empirical coefficient. f ce This refers to the 28-day compressive strength of cement.

[0009] Preferably, the dosage of the water-reducing agent is determined as follows: Set the initial selection interval according to the recommended dosage, and then set the baseline dosage; The slump loss over time was tested under different dosages, and optimization was carried out based on slump and segregation bleeding to obtain slump control results. The dosage of water-reducing agent was determined through economic verification.

[0010] Preferably, when forming the three-parameter cement-based material rheological prediction model, it further includes: Delete cells in the sampling model when cell rheology does not meet the requirements for scalability and scalability time.

[0011] Preferably, the preparation test is conducted using two initial ratios, specifically as follows: Prepare the mixing material according to the initial ratio, and make test blocks according to the work specifications; The test blocks were subjected to mechanical property tests and rheological property tests respectively. If the rheological and mechanical properties did not meet the set specifications, the proportions were adjusted within the cell coverage area to obtain the initial proportions again.

[0012] This invention provides a low-carbon cement-based material design system for vibration-free molding of road and bridge structures, comprising: The raw material sampling module is used to construct a raw material sampling model by dividing the grid into three coordinate axes, with aggregate dosage, water-powder ratio and water-reducing agent dosage as the three raw materials respectively, and selecting the sampling interval according to the actual dosage range of each raw material. The three-parameter cement-based material rheology prediction model construction module is used to select multiple cells of the raw material sampling model and measure the expansion degree and expansion time of each cell. When the expansion degree and expansion time meet the set threshold, the cell is retained as a qualified cell. After traversing each cell, the retained cells form the three-parameter cement-based material rheology prediction model. The mix proportion setting module is used to perform compressive strength tests on each cell of the three-parameter cement-based material rheological prediction model to determine the strength level. If the strength level is not met, fiber materials are added to the unit mix proportion and the fiber content is adjusted. The strength test is repeated until the strength level reaches the threshold. The strength level and fiber content are marked on the cell as the initial mix proportion model. The design module is used to select the amount of high-carbon raw materials in the non-fiber reinforced cells and fiber reinforced cells that meet the strength conditions as two initial proportions in the initial mix proportion model. At the same time, a mixing test is carried out using the two initial proportions. When the mixing test results meet the set specification requirements, the configuration result of the low-carbon cement-based material for vibration-free molding of road and bridge structures is output. Among them, the non-fiber reinforced cells and the fiber reinforced cells are cells without fiber content and cells with fiber content, respectively.

[0013] The present invention provides a computer device, including a memory and a processor. The memory stores a program, and when the program is executed by the processor, the processor performs the steps of the above-described design method for vibration-free molding of low-carbon cement-based materials for road and bridge structures.

[0014] The present invention provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the steps of the above-mentioned design method for vibration-free molding of low-carbon cement-based materials for road and bridge structures.

[0015] Compared with the prior art, the present invention has the following significant advantages: This invention uses aggregate dosage, water-to-powder ratio, and water-reducing agent dosage as coordinate axes, selects sampling intervals for grid division, constructs a raw material sampling model, and retains qualified units under various conditions to generate a three-parameter cement-based material rheological prediction model. This breaks through the limitations of traditional continuous variable design by discretizing core parameters such as aggregate gradation, water-to-powder ratio (W / B), and water-reducing agent dosage according to physical boundaries. Discretization handles complex nonlinear relationships, reducing the optimization dimensionality. Simultaneously, compressive strength tests are conducted on the three-parameter cement-based material rheological prediction model. When the strength level is not met, fiber materials are added. When the strength threshold is met, an initial mix proportion model is obtained. Using different high-carbon raw material dosages as input, when requirements are met, the configuration results of low-carbon cement-based materials for vibration-free molding of road and bridge structures are obtained. The initial mix proportion model serves as an important reference and basis for reducing the difficulty and cost of engineering trial mixing. The system automatically selects several mix proportions with the lowest "carbon emission factor per unit strength" at that strength level, effectively reducing carbon emissions per unit volume compared to traditional mix proportions. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the sampling model in an embodiment of the present invention; Figure 2 This is a technical roadmap for an embodiment of the present invention; Figure 3 A flowchart for establishing the three-parameter cement-based material rheology prediction model in this embodiment of the invention.

[0017] Figure 4 This is a schematic diagram of the three-parameter cement-based material rheology prediction model in an embodiment of the present invention; Figure 5 A flowchart for establishing the initial mix proportion model of cement-based materials in the embodiments of the present invention; Figure 6 This is a schematic diagram of the initial mix proportion model of cement-based materials in an embodiment of the present invention; Figure 7 This is a flowchart illustrating the trial preparation process in an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0019] In existing technologies, the trial mixing method has many drawbacks in practical applications: First, it cannot effectively achieve the goal of "carbon reduction," which contradicts the current green and environmentally friendly development concept; second, the trial mixing method makes the preparation process extremely complex and significantly increases the difficulty, resulting in low construction efficiency; third, the implementation of the trial mixing method requires a large amount of materials and manpower, directly increasing project costs; in addition, this method is highly dependent on the experience of operators, lacks standardization and normalization, and makes it difficult to guarantee the stability and consistency of the preparation. It has become a "pain point" that is difficult to overcome in the process of promoting vibration-free molding construction technology and achieving full coverage in the highway construction field, seriously restricting the technological progress and sustainable development of this field.

[0020] Vibration-free molding offers convenient construction, zero noise, and low energy consumption, resulting in high-quality casting of large-volume, densely reinforced structures. In highway engineering, the use of vibration-free molded road and bridge structures is increasing, with the scope of these projects expanding, many being key or major foundation projects. This expansion in application scale, coupled with the massive volume of projects, leads to a huge consumption of cement-based materials. Cement, water-reducing agents, and other essential raw materials are all "high-carbon" products. Given such a large volume of materials, even a slight reduction in carbon emissions during formulation would yield significant energy-saving and emission-reduction benefits, making a significant contribution to achieving the national "dual-carbon" strategic goals. Therefore, researching "low-carbon" cement-based material formulation technologies for vibration-free molding of road and bridge structures has broad application prospects and engineering application value for low-carbon highway construction and key or major foundation projects.

[0021] Therefore, in view of the above problems and other issues, the present invention proposes a design method and system for vibration-free molding of low-carbon cement-based materials for road and bridge structures, thereby addressing the aforementioned problems.

[0022] Specifically, the working method of the present invention mainly includes the following steps, such as: Figure 2 As shown in the figure, this embodiment describes a design method for low-carbon cement-based materials for vibration-free molding of road and bridge structures, which includes the following steps: Step S1: Using aggregate dosage, water-to-powder ratio, and water-reducing agent dosage as three coordinate axes, select the sampling interval according to the actual dosage range of each raw material to divide the grid and construct a raw material sampling model.

[0023] Using aggregate dosage, water-to-powder ratio, and water-reducing agent dosage as three coordinate axes, the range of aggregate, water-to-powder ratio, and water-reducing agent dosage in the project was investigated. Based on the actual range and relevant research, a reasonable sampling interval was selected, and a grid was formed to create a raw material sampling model. Figure 1 .

[0024] Sample point: The midpoint of each grid cell is selected to determine the aggregate dosage, water-to-powder ratio, and water-reducing agent dosage. This serves as a sample point for subsequent experiments. The rheological qualification zone, strength grade, and fiber content information are then labeled on the corresponding cells. The technical roadmap is as follows: Figure 2 As shown.

[0025] The sampling interval method for designing concrete mix proportions is an efficient design method that significantly reduces the number of test groups while ensuring accuracy. It involves parameter discretization sampling, response surface fitting, and iterative optimization. The specific process is as follows:

[0026] I. Method for determining aggregate dosage: Hierarchical sampling: Coarse aggregate is divided into 5mm intervals (5-10mm, 10-15mm, etc.), and fine aggregate is divided into 0.3mm intervals (0.15-0.3mm, 0.3-0.6mm, etc.). The initial mix proportion is to distribute each grade of aggregate in equal mass ratio (e.g., 25% per grade).

[0027] Porosity optimization: The formula for testing the porosity γ of mixed aggregates with different mix proportions is: γ=V w / V a ×100%; Where V w V represents the water injection volume. a This represents the apparent volume of the aggregate.

[0028] Adjust strategy: Preliminary selection stage: The dosage of each grade is adjusted at intervals of ±10% (e.g., 20%, 30%, 40%).

[0029] Fine-tuning phase: Reduce the interval to ±5% in the γ<38% range (e.g., 35%, 40%, 45%).

[0030] Final calculation: Total aggregate weight = concrete density - (mass of adhesive + water + water-reducing agent).

[0031] Distribute fine / coarse aggregates according to the optimized sand ratio (e.g., sand ratio 39%: fine aggregate = total aggregate × 0.39).

[0032] II. Determination of Water-to-Binder Ratio (W / B): 1. Strength benchmark calculation: Configuration strength formula: .

[0033] For example, C30 σ =5.0 MPa The value is 38.2 MPa.

[0034] The theoretical water-cement ratio is calculated using the Paulomee formula: ; Gravel can be taken. =0.46, =0.07, where f cu,0 For concrete mix design strength (N / mm) 2 ), f cu,k Standard value of concrete cube compressive strength (N / mm²) 2 ), σ Standard deviation of concrete strength (N / mm) 2 W / B is the water-to-binder ratio. α a 、α b This is an empirical coefficient. f ce This refers to the 28-day compressive strength of cement.

[0035] 2. Sampling optimization: Initially select a spacing of 0.05 (e.g., 0.35 / 0.40 / 0.45) and test the intensity for 7 days / 28 days.

[0036] During the fine-tuning stage, the spacing is reduced to 0.02 (e.g., 0.38 / 0.40 / 0.42), and then adjusted according to durability requirements.

[0037] III. Method for determining the dosage of water-reducing agent: 1. Setting the baseline doping level: Set the initial selection interval (0.9% / 1.2% / 1.5%) based on the recommended dosage (e.g., 1.2%) ± 0.3%.

[0038] 2. Slump control: Test the slump loss over time (0h / 1h / 2h) under different dosages.

[0039] Optimization rules: Insufficient slump: Increase the admixture by 0.1% or increase the water-cement ratio by 0.02.

[0040] Separation and bleeding: Reduce the admixture dosage by 0.1% or reduce the sand ratio by 2%.

[0041] 3. Economic feasibility verification: Adhesive usage is ≤10% of the industry average, and water-reducing agent cost accounts for <3%.

[0042] IV. Parameter Interaction Optimization Table: The optimal ratio can be determined through 3 rounds of iteration (about 40 sets of experiments), saving more than 60% of the cost compared to full combination experiments.

[0043] Breaking through the limitations of traditional continuous variable design, core parameters such as aggregate gradation, water-to-powder ratio (W / B), and water-reducing agent dosage are discretized according to physical boundaries.

[0044] Aggregate gradation: Coarse aggregate is graded at 5mm intervals (5-10mm, 10-15mm, etc.), and fine aggregate is graded at 0.3mm intervals (0.15-0.3mm, 0.3-0.6mm, etc.). The influence of gradation is quantified by sampling at different grades.

[0045] Water-to-powder ratio and water-reducing agent: initially select a large spacing (water-to-powder ratio ±0.05, water-reducing agent ±0.3%), fine-tune to a small spacing (water-to-powder ratio ±0.02, water-reducing agent ±0.1%), to achieve gradient approximation.

[0046] Innovation: By discretizing complex nonlinear relationships, the optimization dimensionality is reduced.

[0047] Efficiency improvement: Two-stage iterative process of coarse screening and fine-tuning; Experimental quantity reduction technology: Coarse screening stage: Rapidly locate the potential range of low porosity and high flowability by generating a limited combination with large spacing.

[0048] Fine-tuning phase: Reduce the spacing within the potential range, combine Monte Carlo random sampling to verify local optimal solutions, and reduce the number of test groups.

[0049] Step S2: Select multiple cells of the raw material sampling model and measure the expansion degree and expansion time of each cell. When the expansion degree and expansion time meet the set threshold, retain the cell as a qualified cell. After traversing each cell, use the retained cells to form a three-parameter cement-based material rheology prediction model.

[0050] like Figure 3As shown, the spread and spread time of each unit in the sampling model were experimentally determined. Based on the "Technical Specification for Application of Self-Compacting Concrete (JGJ / T283—2012)" and considering the scope of engineering application, the SF2 spread grade was selected. The experimental values ​​were compared with the specification requirements. When the spread was between 660mm and 750mm and the spread time T50 was between 2 and 5 seconds, the rheological properties of that unit were considered satisfactory, and that unit was retained in the sampling model. If any indicator was not met, the unit was deleted from the sampling model. After traversing all units, the retained units form the three-parameter cement-based material rheological prediction model, as shown in the specific model. Figure 4 As shown. Analyze the model's precision; if necessary, reduce the sampling interval and repeat the above process until it meets the requirements of subsequent research.

[0051] Step S3: Perform compressive strength tests on each cell of the three-parameter cement-based material rheological prediction model to determine the strength grade. If the strength grade is not met, add fiber material to the unit mix proportion and adjust the fiber content. Repeat the strength test until the strength grade reaches the threshold C30. Mark the strength grade and fiber content on the cell as the initial mix proportion model.

[0052] Intensity distribution patterns relative to rheological parameters and fiber reinforcement mechanisms: like Figure 5 As shown, compressive strength tests were conducted on each unit of the three-parameter cement-based material rheological prediction model. Based on practical engineering applications, strength grade C30 was selected as the benchmark. The test results were compared with the specification requirements to determine the corresponding strength grade. Units with a sampling strength test grade greater than or equal to C30 were retained and their strength grade was marked on the unit. If the strength grade did not meet the requirement, fiber materials were added to the unit mix proportion, prioritizing basalt fiber according to the "low-carbon" principle. Based on existing research results, the fiber content was adjusted within a reasonable range, and the strength tests were repeated until the strength grade reached C30. The strength grade and fiber content were then marked on the unit. If the strength grade did not reach C30 within a reasonable fiber addition range, the unit was deleted. Finally, the retained units constituted the initial mix proportion model, and the model structure was as follows. Figure 6 As shown.

[0053] Step S4: In the initial mix proportion model, select the amount of high-carbon raw materials in the non-fiber reinforced cell and the fiber reinforced cell that meet the strength conditions as two initial mix proportions. At the same time, carry out the preparation test through the two initial mix proportions. When the preparation test results meet the set specification requirements, output the configuration result of the low-carbon cement-based material for vibration-free molding of road and bridge structures; where the non-fiber reinforced cell and the fiber reinforced cell are cells without fiber content and cells with fiber content, respectively.

[0054] Low-carbon formulation scheme for cement-based materials: Trial preparation process as follows Figure 7 As shown: Three grades commonly used in engineering, C30, C35, and C40, were selected, and mix proportion tests were conducted to simulate engineering applications. In the model, two initial mix proportions were obtained by selecting the amount of "high carbon" raw materials in the "non-fiber reinforced" and "fiber reinforced" units that met the strength requirements, and mix proportion tests were carried out simultaneously. During the trial mix adjustment process, the unit coverage range was used as the adjustment range of the dosage to reduce the number of trial mixes.

[0055] Preparation experiments were conducted using two initial ratios, specifically: Prepare the mixing material according to the initial ratio, and make test blocks according to the work specifications.

[0056] Mechanical and rheological properties were tested on the test blocks respectively. If the rheological and mechanical properties did not meet the set specifications, the proportions were adjusted within the cell coverage area to obtain the initial proportions again.

[0057] Analysis: After completing all trial formulation work, a comparative study was conducted on the experimental process and results, and the formulation process was analyzed and discussed to refine and summarize the formulation scheme and strategies. Depending on the analysis, the above trial formulation process may be repeated if necessary.

[0058] This invention proposes a low-carbon cement-based material design system for vibration-free molding of road and bridge structures, including: a raw material sampling module, a three-parameter cement-based material rheological prediction model construction module, a mix proportion setting module, and a design module.

[0059] The raw material sampling module uses aggregate dosage, water-to-powder ratio, and water-reducing agent dosage as three coordinate axes. Based on the actual dosage range of each raw material, it selects the sampling interval to divide the grid and construct a raw material sampling model. The three-parameter cement-based material rheological prediction model construction module selects multiple cells from the raw material sampling model and measures the spread and spread time of each cell. Cells meeting set thresholds are retained as qualified cells. After traversing all cells, the retained cells form the three-parameter cement-based material rheological prediction model. The mix proportion setting module performs compressive strength tests on each cell of the three-parameter cement-based material rheological prediction model to determine its strength grade. If the strength grade is not met, fiber material is added to the unit mix proportion, and the fiber content is adjusted. The strength test is repeated until the strength grade reaches the threshold. The strength grade and fiber content are marked on the cell as the initial mix proportion model. The design module is used to select the amount of high-carbon raw materials in the non-fiber reinforced cell and the fiber reinforced cell that meet the strength conditions as two sets of initial mix proportions in the initial mix proportion model. At the same time, the preparation test is carried out through the two sets of initial mix proportions. When the preparation test results meet the set specification requirements, the configuration result of the low-carbon cement-based material for vibration-free molding of road and bridge structures is output. Among them, the non-fiber reinforced cell and the fiber reinforced cell are cells without fiber content and cells with fiber content, respectively.

[0060] The present invention also provides a computer device, including a memory and a processor. The memory stores a program, and when the program is executed by the processor, the processor performs the steps of a design method for a low-carbon cement-based material for vibration-free molding of road and bridge structures.

[0061] According to the disclosed embodiments, the computer device can communicate with one or more external devices (e.g., keyboard, pointing device, Bluetooth communication, etc.) or with any device that enables the computing device to communicate with one or more other computing devices (e.g., router, demodulator, etc.).

[0062] The present invention also provides a storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the steps of a design method for a low-carbon cement-based material for vibration-free molding of road and bridge structures.

[0063] According to the disclosed embodiments, the storage medium can be a non-volatile computer-readable storage medium, such as, but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this invention, the storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0064] The above description, in conjunction with specific preferred embodiments, provides a more detailed explanation of the present invention. For those skilled in the art, various simple deductions or substitutions can be made without departing from the concept of the present invention, and all such deductions or substitutions should be considered to fall within the scope of protection of the present invention.

Claims

1. A design method of a low-carbon cement-based material for a vibration-free forming of a road-bridge structure, characterized by, The method comprises the steps of: A raw material sampling model is constructed by taking the amount of aggregate, the water-binder ratio and the amount of water reducing agent as three coordinate axes, selecting sampling intervals according to the actual amount of each raw material, and performing grid division; A plurality of cells of the raw material sampling model are selected, and the extension degree and the extension time of each cell are measured. When the extension degree and the extension time meet the set threshold, the cell is retained as a qualified cell. After traversing each cell, the qualified cells form a three-parameter cement-based material rheological property prediction model; Compressive strength tests are performed on each cell of the three-parameter cement-based material rheological property prediction model to determine the strength grade. If the strength grade does not meet the requirements, fiber material is added to the cell proportion and the fiber content is adjusted. The strength test is repeated until the strength grade reaches the threshold. The strength grade and the fiber content of the cell are marked as the initial mix proportion model; In the initial mix proportion model, the amount of high-carbon raw material in the non-fiber reinforced cell and the fiber reinforced cell that meet the strength condition are selected as two initial proportions. Meanwhile, preparation tests are carried out based on the two initial proportions. When the preparation test results meet the set specification requirements, the configuration results of the low-carbon cement-based material for the vibration-free forming of the road and bridge structure are output. The non-fiber reinforced cell and the fiber reinforced cell are cells without fiber content and cells with fiber content, respectively.

2. A method of designing a low-carbon cement-based material for vibration-free forming of road and bridge structures according to claim 1, characterized in that, The construction of the raw material sampling model further comprises the steps of: The amount of aggregate, the water-binder ratio and the amount of water reducing agent are determined by using the sampling interval method to optimize the raw material sampling model.

3. A method of designing a low-carbon cementitious material for a vibration-free forming of a road or bridge structure according to claim 2, characterized in that, The amount of aggregate is determined as follows: The aggregate is divided into different intervals according to its size. The initial proportion is allocated to each interval of aggregate with equal mass ratio. The void ratio of the mixed aggregate under different proportions is tested by water injection and apparent volume ratio of aggregate. The interval is adjusted in each interval. When the void ratio of the mixed aggregate is less than the threshold interval, the total amount of aggregate is obtained based on the difference between the mass of the concrete and the mass of the binder, water and water reducing agent. The fine / coarse aggregate is allocated according to the optimized sand rate.

4. A method of designing a low-carbon cement-based material for vibration-free forming of road and bridge structures according to claim 2, characterized in that, The water-binder ratio is determined as follows: The concrete configuration strength is obtained. The specific expression is as follows: ； The theoretical water-binder ratio is calculated according to the Bao Luomi formula. The specific expression is as follows: ； wherein, f cu,0 is the strength of the concrete, f cu,k is the standard value of the compressive strength of the concrete cube, The amount of water reducing agent is determined as follows: is the standard deviation of the concrete strength, W / B is the water binder ratio, α a 、α b is an empirical coefficient, f ce is the 28-day compressive strength of the cement.

5. A method of designing a low-carbon cementitious material for a vibration-free forming of a road or bridge structure according to claim 2, characterized in that, The initial interval is set according to the recommended dosage to set the reference dosage. The slump loss over time under different dosages is tested. The slump and segregation bleeding are optimized to obtain the slump control result. The amount of water reducing agent is determined based on the economic verification. When the rheological property of the cell does not meet the extension degree and the extension time, the cell is deleted from the sampling model.

6. A method of designing a low-carbon cementitious material for a vibration-free forming of a road or bridge structure according to claim 1, characterized in that, The preparation test based on the two initial proportions is carried out as follows: The mixed material is prepared according to the initial proportion, and the test block is prepared according to the working specification.

7. The method of claim 1, wherein the low-carbon cement-based material for a road and bridge structure is designed to be free of vibration forming. The test block is subjected to mechanical property test and rheological property test. When the rheological property and the mechanical property do not meet the set specification requirements, the proportion is adjusted within the coverage range of the cell to obtain a new initial proportion. ​ ​ 8. A design system for a low-carbon cement-based material for a vibration-free forming of a road-bridge structure, characterized in that, ​ The raw material sampling module is used for taking the aggregate amount, the water-powder ratio and the water reducing agent amount as three coordinate axes, selecting a sampling interval according to an actual amount range of each raw material to perform grid division, and constructing a raw material sampling model; The three-parameter cement-based material rheological property prediction model construction module is configured to select a plurality of cells of the raw material sampling model, and measure the spread degree and the spread time of each cell. When the spread degree and the spread time meet a set threshold, the cell is retained as a qualified cell. After traversing each cell, the retained cells form a three-parameter cement-based material rheological property prediction model. The mix proportion setting module is configured to perform a compressive strength test on each cell of the three-parameter cement-based material rheological property prediction model, determine the strength grade, and add a fiber material to the cell mix proportion and adjust the fiber content if the strength grade does not meet the requirement. The strength test is repeated until the strength grade reaches a threshold. The strength grade and the fiber content of each cell are labeled as an initial mix proportion model. The design module is configured to select the high-carbon raw material amount in the non-fiber reinforced cell and the fiber reinforced cell that meet the strength condition as two initial proportions in the initial mix proportion model, and perform a preparation test through the two initial proportions. When the preparation test result meets a set specification requirement, a configuration result of a low-carbon cement-based material for road and bridge structure free vibration forming is output.

9. A computer device, comprising: The computer program is executed by the processor to implement the steps of the low-carbon cement-based material design method for road and bridge structure free vibration forming according to any one of claims 1 to 7.

10. A storage medium having stored thereon a computer program, characterized in that The computer program is executed by the processor to implement the steps of the low-carbon cement-based material design method for road and bridge structure free vibration forming according to any one of claims 1 to 7.

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